Suppr超能文献

次最大强度长时间骑行过程中的神经肌肉适应性

Neuromuscular adaptations during submaximal prolonged cycling.

作者信息

Castronovo A M, De Marchis C, Bibbo D, Conforto S, Schmid M, D'Alessio T

机构信息

Laboratory of Biomedical Engineering, Department of Applied Electronics, University Roma TRE, via della Vasca Navale 84, Rome, Italy.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3612-5. doi: 10.1109/EMBC.2012.6346748.

Abstract

This study aims at evaluating the neuromuscular adaptations occurring during submaximal prolonged cycling tasks. In particular, we want to assess changes in surface electromyographic (sEMG) signal recorded during a pedaling task, performed by six subjects on a cycle-simulator at a constant power output, until voluntary exhaustion. Task failure was defined as the instant the subject was no longer able to maintain the required task. Electromyographic activity was recorded from eight muscles of the dominant leg and burst characteristics of sEMG signals were analyzed in order to assess the changes in muscle activity level produced by the occurrence of neuromuscular fatigue. In particular, three features were extracted from the sEMG signal for each burst: amplitude, location of the maxima and mean profile of the burst envelope. We have reported an increase in the amplitude parameter for all subjects only for Vastii while bi-articular muscles presented a high variability among subjects. Also the location of the maximal values of the mean envelope of the bursts was found to change when considering bi-articular or mono-articular muscles. The envelope profile was found not to be subject to alterations when comparing the end of the task with the beginning. We speculated that neuromuscular fatigue induces changes essentially in the mono-articular muscles which produce power. This phenomenon is highly correlated with the adopted pedaling strategy which, being not constrained, induces subjects to express the maximal power in the downstroke phase, related to knee extension and involving mainly mono-articular muscles.

摘要

本研究旨在评估次最大强度长时间骑行任务期间发生的神经肌肉适应性变化。具体而言,我们希望评估六名受试者在自行车模拟器上以恒定功率输出进行蹬踏任务直至自愿疲劳时所记录的表面肌电图(sEMG)信号的变化。任务失败定义为受试者不再能够维持所需任务的那一刻。从优势腿的八块肌肉记录肌电活动,并分析sEMG信号的爆发特征,以评估神经肌肉疲劳发生所产生的肌肉活动水平变化。具体而言,从每个爆发的sEMG信号中提取三个特征:幅度、最大值位置和爆发包络的平均轮廓。我们报告称,仅股直肌的所有受试者的幅度参数均增加,而双关节肌肉在受试者之间表现出高度变异性。在考虑双关节或单关节肌肉时,还发现爆发平均包络最大值的位置发生了变化。在将任务结束时与开始时进行比较时,发现包络轮廓未发生改变。我们推测神经肌肉疲劳主要在产生力量的单关节肌肉中引起变化。这种现象与所采用的蹬踏策略高度相关,由于该策略不受限制,导致受试者在下踏阶段(与膝关节伸展相关且主要涉及单关节肌肉)表达最大功率。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验